code: def __init__(
      self,
      minimum_samples_per_cluster=2,
      n_init=10,
      significance=4,
      restarts=10,
      random_state=None,
  ):
      self.minimum_samples_per_cluster = minimum_samples_per_cluster
      self.n_init = n_init
      self.significance = significance
      self.restarts = restarts
      self.random_state = sklearn.utils.check_random_state(random_state)
  
file_path: auto-sklearn/autosklearn/metalearning/metalearning/clustering/gmeans.py
imports: import numpy
  import scipy.stats
  import sklearn.cluster
  import sklearn.manifold
  import sklearn.preprocessing
  import sklearn.utils
label_desc: Use image node_id 1 to create a new GMeans object from inherited base classes: object with example: obj = GMeans(minimum_samples_per_cluster, n_init, significance, restarts, random_state)